I've written Numeric Python code (with Python 1.5.2) to analyze weather radar data. In an attempt to speed up this code, I used threads to perform some of the computations. I'm running on a dual processor Linux machine running 2.4.1 with SMP enabled. I'm using Numeric -17.3.0 with Python 1.5.2 When I run the threaded code, and monitor the system with 'top', 1 processor spends much of its time idle, and I rarely see two copies of my 'compute' thread executing. Each thread is computing its results from different arrays. However, all arrays are referenced from the same dictionary. Any ideas on how to get both threads computing at the same time? Thanks for your help! -- Joe VanAndel National Center for Atmospheric Research http://www.atd.ucar.edu/~vanandel/ Internet: vanandel@ucar.edu